Transform your organization with data-driven insights and strategies!

Course Overview

Our Industrial Data Science Course is designed for professionals and organizations aiming to leverage Data Science for better decision-making, operational efficiency, and innovation. This course equips participants with the knowledge and tools needed to implement data-driven strategies and optimize industrial processes using cutting-edge AI, machine learning, and data analysis techniques. And all of this in the academic setting of TU Wien!

Key Learning Outcomes

  • Solid understanding of the core principles and scope of Data Science.
  • Applied CRISP-DM methodology in practical exercises, enhancing the ability to tackle data collection and analysis challenges.
  • Hands-on experience in utilizing statistical techniques for quality management and predictive maintenance, focusing on AI integration within industrial settings.
  • Deep understanding of database systems, big data management, and the practical application of data warehousing technologies.
  • The ethical, risk management, and regulatory aspects of Data Science, with a specific focus on the EU AI Act and NIST USA guidelines.

Course Content

Our course is structured to provide a blend of theoretical knowledge and practical experience:

  • Fundamentals of Data Science and AI: Core concepts, statistical techniques, and the data science lifecycle (CRISP-DM).
  • Data Collection Methods: From human-based techniques (surveys) to machine-based data collection (sensors).
  • Generative AI for Data Processing: Explore AI-based techniques for data generation, including practical applications in prompt engineering.
  • Big Data and Business Intelligence: Introduction to database systems, data warehousing, and ERP data.
  • Preprocessing and Cleaning: Methods for data cleaning, normalization, integration, and handling missing data.
  • Building Data Science Teams: Aligning data scientists with business goals and fostering cross-functional collaboration.
  • Risk Management & Ethics: Learn how to manage risks and adhere to international regulations.

Why Take This Course?

  • Industry-Relevant Skills: Learn the latest tools and methodologies used by top industries.
  • Hands-on Experience: Engage in practical workshops that apply your knowledge to real-world scenarios.
  • Expert Instructors: Univ.-Prof. Dr.-Ing. Fazel Ansari and experts from the Production and Maintenance Management research unit.
  • Applicable Across Industries: Gain skills that can be applied in sectors like manufacturing, supply chain management, and more.

Teaching Approach

  • Interactive Lectures & Presentations: Learn core concepts and explore theories in-depth.
  • Hands-on Group Exercises: Apply your knowledge to practical exercises focused on data types, data preprocessing, and generative AI tools.
  • Real-World Case Studies: Explore successful Data Science implementations across industries.
  • Interactive Feedback & Strategy Games: Participate in engaging activities that reinforce learning through applied practice.

How to Enroll

Ready to transform your organization through Industrial Data Science? Contact our team for more details!

An adopted version of the lecture is also offered to the students of TU Wien - 330.282 Industrial Data Science, opens an external URL in a new window!